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for membrane biophysics and drug‑delivery research. While conventional small‑angle scattering (SANS/SAXS) provides exquisite nanoscopic structural detail, it rarely captures the crucial mesoscale dynamics
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responsible for managing industrial SAXS beamtime and supporting the industrial MX users. We are developing our internal services as well as a strong network of partnerships that will help us guide Swedish and
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scattering (SAXS) tensor tomography Develop correlative multi-scale analysis pipelines integrating SAXS tensor tomography and high-resolution X-ray tomography, and complementary electron microscopy data (in
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physicochemical characterization (SEM, SAXS, DLS, DSC, TGA, DMA, rheology, adhesion testing, FTIR, Raman, XPS) Quantify adhesion, cohesion, rheological, thermal, mechanical properties Establish structure–property
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with tailored morphology Develop processing routes Perform advanced structural and physicochemical characterization (SEM, SAXS, DLS, DSC, TGA, DMA, rheology, adhesion testing, FTIR, Raman, XPS) Quantify
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techniques of cryo-electron microscopy (cryo-EM), small angle X-ray scattering (SAXS), single-molecule force spectroscopy (SMFS), biochemistry, mutational analysis, cell culture, activity assays, et cetera
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not restricted to optical microscopy, optical tomography, high-resolution AFM, in-situ and post-mortem SAXS/WAXS, as well as DSC and FSC, to provide the supporting evidence for our new theory. As a PhD
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science. Your main responsibilities will include: Characterization of biologics (antibodies, proteins, siRNA) in the presence of excipients using SAXS and complementary biophysical techniques Development
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organization of electrospun biobased nanocomposites under uniaxial / biaxial extension, probed by in-situ USAXS/SAXS/WAXS You will join ID02 team composed of 7 people and study multiscale structural organization
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scattering (SAXS/SANS) along with theoretical model analysis including the use of multi-scale and artificial intelligence models. The PD will work closely with both the PhD candidates and PIs within